Data set represents the HELCOM 10x10 km Baltic Sea grid. The grid is based on the European Environment agency (EEA) grid system, and its compatible with other grid sizes. Each grid cell have an unique identifier, that is based on the EEA coding system, where the identifier consists of the cell size and cell coordinates. The grid covers the HELCOM marine area and uses the LAEA projection. HELCOM is making the grid available to offer a standardized and equal area grid system for the Baltic Sea that can be used in different assessments and that is alligned with different grid sizes, such as the "HELCOM 1x1km Baltic Sea grid" or any other EEA based grid system in Europe. The grid is available in two versions: 1. The basic version (HELCOM 10x10km Baltic Sea grid) with full grid cells. This is the version that is visualized in MADS and avaliable for download below as the first link and also as the download link in MADS 2. The second version (HELCOM 10x10km Baltic Sea grid without land areas) where all land areas are removed within the grid cells. This version is not visualized in MADS, but is available for download below. Further details on the 2 different grids can be found in the lineage section below. Attribute information: Unique_ID: Unique ID of the grid cell, based on the EEA coding system Area_km2: Area of the grid cell (for the second version the area is without land areas)

Data set represents the HELCOM 1x1 km Baltic Sea grid, that was originally created for the HOLAS II project (State of the Baltic Sea report 2018) and used in the Baltic Sea Impact Index and Shipping density maps produced for HELCOM Maritime Assessment. The grid is based on the European Environment agency (EEA) grid system, and its compatible with all other grid sizes. The grid covers the whole Baltic Sea water area: A grid cell is included in the data set if some part of the 1x1 km cell touches water according to the EEA coastline data set. Same method is applied to cut the grid to match the HELCOM marine area. Attribute information: HELCOM_subbasin_ID: HELCOM subbasin ID where the cell is located HELCOM_subbasin_name: HELCOM subbasin name where the cell is located

Data set represents the HELCOM 20x20 km Baltic Sea grid. The grid is based on the European Environment agency (EEA) grid system, and its compatible with other grid sizes. Each grid cell have an unique identifier, that is based on the EEA coding system, where the identifier consists of the cell size and cell coordinates. The grid covers the HELCOM marine area and uses the LAEA projection. HELCOM is making the grid available to offer a standardized and equal area grid system for the Baltic Sea that can be used in different assessments and that is alligned with different grid sizes, such as the "HELCOM 1x1km Baltic Sea grid" or any other EEA based grid system in Europe. The grid is available in two versions: 1. The basic version (HELCOM 20x20km Baltic Sea grid) with full grid cells. This is the version that is visualized in MADS and avaliable for download below as the first link and also as the download link in MADS 2. The second version (HELCOM 20x20km Baltic Sea grid without land areas) where all land areas are removed within the grid cells. This version is not visualized in MADS, but is available for download below. Further details on the 2 different grids can be found in the lineage section below. Attribute information: Unique_ID: Unique ID of the grid cell, based on the EEA coding system Area_km2: Area of the grid cell (for the second version the area is without land areas)

This dataset contains the most up-to-date reported data about zooplankton monitoring stations in the Baltic Sea. It was collected during the HELCOM MORE project. The dataset was updated in December 2020 with new data from Finland

This data set was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. This data set contains all phytoplankton stations in the Baltic Sea as reported to the HELCOM MORE project. It was collected and published at the beginning of 2013.The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info.The data set was updated in 18 February 2015 with Finnish and Swedish monitoring stations reported by the end of 2014 as requested in HELCOM STATE 1-2014 meeting. This dataset was updated in December 2020 with new data from Finland.

This data set contains the most up-to-date reported data about zoobenthos monitoring stations in the Baltic Sea. It was collected during the HELCOM MORE project. The data set was updated in 18 February 2015 with Finnish and Swedish monitoring stations reported by the end of 2014 as requested in HELCOM STATE 1-2014 meeting. Following update was done in 11 September 2015 regarding Polish stations following update request in HELCOM STATE & CONSERVATION 2-2015 meeting. The Finnish monitoring stations were updated in December 2020.

This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. This dataset contains all phytobenthos stations in the Baltic Sea as reported to the HELCOM MORE project. It was collected and published at the beginning of 2013. The dataset was updated with Polish stations after STATE 2-2015 meeting. The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info.

This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea This data set contains all primary production stations in the Baltic Sea as reported to the HELCOM MORE project. It was collected and published at the beginning of 2013.The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info.

This data set was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea This data set contains all Chlorophyll-a stations in the Baltic Sea as reported to the HELCOM MORE project. It was collected and published at the beginning of 2013. The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info. The dataset was updated in 18 February 2015 with Finnish and Swedish monitoring stations reported by the end of 2014 as requested in HELCOM STATE 1-2014 meeting. Following update was done in 11 September 2015 regarding Polish stations following update request in HELCOM STATE & CONSERVATION 2-2015 meeting.

Dataset description: This dataset displays spatial coverage of available data on riverine inputs of hazardous substances to the Baltic Sea. The data illustrates availability and where available contains values of annual average inputs of hazardous substances (the latest assessment period) from sub-catchments and coastal areas designated for the HELCOM PLC assessment. The sub-catchments are the smallest areas for which loads of nutrients and hazardous substances are assessed. Sub-catchments are always located within borders of a single country and drain into one Baltic Sea sub-basin. Sub-catchments may correspond to either monitored or unmonitored areas. Unmonitored sub-catchments may represent either unmonitored parts of river catchments or aggregated unmonitored areas (depending on the reporting format of each Contracting Party). The data is obtained through national monitoring programmes and annually reported by Contracting Parties to the HELCOM Pollution Load Compilation (PLC-water) database as an integral part of HELCOM Pollution Load Compilation process https://nest.su.se/helcom_plc/. However, the assessment of inputs and respective data updates are performed periodically in accordance with the workplan of respective PLC-projects. The data is produced, compiled and quality assured in accordance with the HELCOM Guidelines for the annual and periodical compilation and reporting of waterborne pollution inputs to the Baltic Sea (HELCOM PLC-Water Guideline). Dataset content: Polygonal feature class contains the following attributes: Source code (source_code): Unique code for river sub-catchments and unmonitored areas Source name (source_name): Name of river catchment or unmonitored area Sub-basin code (subb_code): Sub-basin of the Baltic Sea the sub-catchment drains to. Country code (c_code): The Country on which territory the river mouth is located, for border rivers both are mentioned. Area km2 (area_km2): Polygon area in sq.km. Cd_20XX: annual average input of cadmium in each year of the assessment period (tonnes/year) Cd_average: average input of cadmium in the assessment period (tonnes/year) Cr_20XX: annual average input of cadmium in each year of the assessment period (tonnes/year) Cr_average: average input of chromium in the assessment period (tonnes/year) Cu_20XX: annual average input of cadmium in each year of the assessment period (tonnes/year) Cu_average: average input of copper in the assessment period (tonnes/year) Hg_20XX:annual average input of cadmium in each year of the assessment period (tonnes/year) Hg_average: average input of mercury in the assessment period (tonnes/year) Ni_20XX: annual average input of cadmium in each year of the assessment period (tonnes/year) Ni_average: average input of nickel in the assessment period (tonnes/year) Pb_20XX: annual average input of cadmium in each year of the assessment period (tonnes/year) Pb_average: average input of lead in the assessment period (tonnes/year) Zn_20XX: annual average input of cadmium in each year of the assessment period (tonnes/year) Zn_average: average input of zinc in the assessment period (tonnes/year) Year: year of the assessment Visualization: The following maps visualize the data: Map of data coverage for zinc Map of data coverage for chromium Map of data coverage for copper Map of data coverage for nickel Map of data coverage for lead Map of data coverage for cadmium Map of data coverage for mercury Data update: Metadata is updated by HELCOM Secretariat periodically after adoption of PLC report on sources of nutrients. The dataset is updated by HELCOM Secretariat periodically after adoption of PLC report on sources of nutrients.